Surmounting potential barriers: hydrodynamic memory hedges against thermal fluctuations in particle transport

[2004.14374] Surmounting potential barriers: hydrodynamic memory hedges against thermal fluctuations in particle transport Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Physics > Chemical Physics arXiv:2004.14374 (physics) [Submitted on 29 Apr 2020] Title: Surmounting potential barriers: hydrodynamic memory hedges against thermal fluctuations in particle transport Authors: Sean Seyler , Steve Pressé View a PDF of the paper titled Surmounting potential barriers: hydrodynamic memory hedges against thermal fluctuations in particle transport, by Sean Seyler and 1 other authors View PDF HTML (experimental) Abstract: Recently, trapped-particle experiments have probed the instantaneous velocity of Brownian motion revealing that, at early times, hydrodynamic history forces dominate Stokes damping. In these experiments, nonuniform particle motion is well described by the Basset-Boussinesq-Oseen (BBO) equation, which captures the unsteady Basset history force at low Reynolds number. Building off of these results, earlier we showed that, at low temperature, BBO particles could exploit fluid inertia in order to overcome potential barriers (generically modeled as a tilted washboard) while its Langevin counter-part could not. Here, we explore the behavior of BBO particles at finite temperature. Remarkably, we find that the transport of particles injected into a bumpy potential with sufficiently high barriers can be completely quenched at intermediate temperatures, whereas itinerancy may be possible above and below that temperature window. This effect is present for both Langevin and BBO dynamics, though these occur over drastically different temperature ranges. Furthermore, hydrodynamic memory mitigates these effects by sustaining initial particle momentum, even in the difficult intermediate temperature regime. Comments: 6 pages, 3 figures Subjects: Chemical Physics (physics.chem-ph) ; Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Statistical Mechanics (cond-mat.stat-mech); Computational Physics (physics.comp-ph); Fluid Dynamics (physics.flu-dyn) Cite as: arXiv:2004.14374 [physics.chem-ph] (or arXiv:2004.14374v1 [physics.chem-ph] for this version) https://doi.org/10.48550/arXiv.2004.14374 Focus to learn more arXiv-issued DOI via DataCite Journal reference: J. Chem. Phys. 153, 041102 (2020) Related DOI : https://doi.org/10.1063/5.0013722 Focus to learn more DOI(s) linking to related resources Submission history From: Sean L Seyler [ view email ] [v1] Wed, 29 Apr 2020 17:54:15 UTC (2,323 KB) Full-text links: Access Paper: View a PDF of the paper titled Surmounting potential barriers: hydrodynamic memory hedges against thermal fluctuations in particle transport, by Sean Seyler and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: physics.chem-ph < prev | next > new | recent | 2020-04 Change to browse by: cond-mat cond-mat.mes-hall cond-mat.stat-mech physics physics.comp-ph physics.flu-dyn References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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